Genetics Selection Evolution is an open access, peer-reviewed, online journal dedicated to original research on all aspects of genetics and selection in farm animal species and in other species that provide novel and/or relevant insights into the genetics of farm animals. Read more.
Aims and scope
Announcing our expansion in scope
Historically Genetics Selection Evolution has been focused on publishing studies based on genetic and genomic data, but with vast increases in the spectrum of other -omic data and fast evolving statistical and computing technologies, we are extending our scope to also support contributions on other -omic data and the use of biotechnology in animal breeding.
Please see here for a full description of our journal scope. We would like to emphasize that contributions must include statements on the relevance of the work to the broader readership of the journal.
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Celebrating Genetics Selection Evolution’s 50th anniversary
Collection showcasing influential papers published in the journal over the past five decades.
Published: 19 November 2019
Goat ADAPTmap Project
Collection featuring research from the Goat AdaptMap project, a worldwide analysis of goat biodiversity.
Published: 19 November 2018
International Symposium on Functional Animal Genomics 2015
Collection featuring research and reviews from the International Symposium on Function Animal Genomics, held in Piacenza, Italy on 27th-29th July 2015.
Published: 29 March 2016
Didier Boichard, PhD, INRAE, France
Mario Calus, PhD, Wageningen University, Netherlands
Jack Dekkers, PhD, Iowa State University, US
Helene Hayes, PhD, INRAE, France
Alexandra Badiou-Beneteau, PhD, INRAE, France
New Thematic Series: Celebrating Rohan Fernando’s contributions to quantitative genetics
On the occasion of Rohan Fernando’s retirement from his position as Professor of Animal Science at Iowa State University, Genetics Selection Evolution is proud to publish a special series of papers by several of Rohan’s collaborators and colleagues (past and present) to honor his important contributions to quantitative genetics, especially to animal breeding. Details are described in the Editorial prepared for the series. Papers will be released as they have successfully completed the standard peer review process.
Organizing Editor: Jack Dekkers , Iowa State University, United StatesRead More
This paper highlights the relationships between economic weights, genetic progress, and phenotypic progress in genomic breeding programs that aim at generating genetic progress in complex, i.e., multi-trait, breeding objectives via a combination of estimated breeding values for different trait complexes.
Featured: An improved transmissibility model to detect transgenerational transmitted environmental effects
Evolutionary studies have reported that non-genetic information can be inherited across generations (epigenetic marks, microbiota, cultural inheritance). Non-genetic information is considered to be a key element to explain the adaptation of wild species to environmental constraints because it lies at the root of the transgenerational transmission of environmental effects. The “transmissibility model” was proposed several years ago to better predict the transmissible potential of each animal by taking these diverse sources of inheritance into account in a global transmissible potential. We propose to improve this model to account for the influence of the environment on the global transmissible potential as well. This extension of the transmissibility model is the “transmissibility model with environment” that considers a covariance between transmissibility samplings of animals sharing the same environment. The null hypothesis of “no transmitted environmental effect” can be tested by comparing the two models using a likelihood ratio test (LRT).
We are delighted to welcome our new Associate Editors and the expertise and the strength they bring to the board.
Christian Maltecca is a Professor of quantitative genetics and breeding in the Department of Animal Science at North Carolina State University, United States. His research program focuses on the genetic improvement in livestock, the optimization of statistical methods and breeding schemes under genomic selection , and the effective utilization of intermediate omics in selection programs with the use of non-parametric methods and machine learning methods.
Jesús Fernández Martín is geneticist at the National Institute of Agricultural and Food Research and Technology (INIA), Madrid, Spain. He is involved in the implementation of breeding programs in animal domestic species (especially aquatic species), the design of germplasm banks and the management of ex situ conservation programs. His research interests include: combining classical tools with molecular information in the design and management of breeding and conservation programs; control of inbreeding and loss of genetic diversity in breeding and conservation programs; incorporation of new traits (fertility, feed efficiency and disease resistance) to breeding programs; development of statistical methodologies for genomic evaluation. Currently, he is actively involved in the development of different measures of genetic diversity from molecular information, the determination of their utility for different tasks and the consequences arising from their use in the management of genetic resources.
About the Editors-in-Chief
Didier Boichard is currently leading the Cattle Genetics and Genomics research group in the laboratory of Animal Genetics and Integrative Biology at INRAE (French National Research Institute for Agriculture, Food and Environment) in Jouy-en-Josas.
His research is focused on dairy cattle genetics and breeding, particularly on the analysis of genetic variability of production and functional traits. He has managed the French national genetic evaluation for dairy cattle, sheep and goats and conducted projects for QTL detection and fine mapping. In 2002, in close collaboration with the French breeding industry, he implemented a large-scale marker-assisted selection programme, which has become a genomic selection programme since 2008.
Mario Calus is an associate professor at Animal Breeding and Genomics, Wageningen University, in The Netherlands.
His research in the past fifteen years mainly focused on the scientific development of genomic prediction and selection, and its implementation in collaboration with the breeding industry. More recently, this includes using other omics data in addition to structural genomic variation, to partition phenotypic variance and predict phenotypes.
Iowa State University
Jack Dekkers is a distinguished professor of animal breeding and genetics in the Department of Animal Science at Iowa State University (USA).
His areas of research are quantitative genetics and animal breeding with application to swine and poultry genetics, including the use of molecular genetic and genomic information, QTL detection, marker-assisted and genomic selection, design, optimization and economic aspects of breeding strategies, and genetic aspects of residual feed intake in pigs.
Helene Hayes is a researcher in the laboratory of Animal Genetics and Integrative Biology at INRAE (French National Research Institute for Agriculture, Food and Environment) in Jouy-en-Josas.
Her main focus is animal cytogenetics with a special interest on cattle, goat, sheep and rabbit cytogenetic maps and comparative mapping. Since 2005, she dedicates half her time to the management of the journal Genetics Selection Evolution.
Official journal of
Annual Journal Metrics
2022 Citation Impact
4.1 - 2-year Impact Factor
4.7 - 5-year Impact Factor
1.358 - SNIP (Source Normalized Impact per Paper)
1.027 - SJR (SCImago Journal Rank)
10 days submission to first editorial decision for all manuscripts (Median)
215 days submission to accept (Median)
978 Altmetric mentions